At a Glance
- Tasks: Design, build, and deploy cutting-edge machine learning models and solutions.
- Company: Tech-focused organisation driving innovation in AI and data-driven solutions.
- Benefits: Competitive salary, benefits package, and opportunities for professional growth.
- Other info: Fast-paced environment with excellent career development opportunities.
- Why this job: Join a dynamic team and make an impact with advanced AI technologies.
- Qualifications: Degree in Computer Science or related field; strong Python programming skills required.
The predicted salary is between 48000 - 72000 £ per year.
My client is a technology-focused organisation developing advanced AI and data-driven solutions across a range of industries. They are looking to expand their technical team by hiring a Machine Learning Engineer to support the development and deployment of intelligent systems from their offices in Reading.
Machine Learning Engineer attributes
- Knowledge / experience in Machine Learning, Artificial Intelligence, or Data Science
- A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Data Science, Mathematics, Statistics, Artificial Intelligence or similar
- Strong programming skills in Python
- Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn
- Experience working with large datasets and building data pipelines
- Knowledge of cloud platforms such as AWS, Azure, or GCP would be beneficial
- Experience deploying machine learning models into production environments
- Understanding of APIs, data processing frameworks, and software development best practices
- Ability to work both independently and as part of a collaborative technical team
- Excellent communication skills (both verbal and written)
- Keen to develop technically and grow within a fast-paced environment
Machine Learning Engineer role
- Working within the existing data and engineering teams to develop machine learning solutions
- Designing, building, and deploying machine learning models
- Preparing and processing datasets for model training and evaluation
- Improving model performance through experimentation and optimisation
- Collaborating with software engineers to integrate ML solutions into applications
- Researching and implementing new machine learning techniques where appropriate
If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.
Machine Learning Engineer in Reading employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
Join a forward-thinking technology organisation in Reading, where innovation meets collaboration. As a Machine Learning Engineer, you'll benefit from a dynamic work culture that prioritises employee growth and development, alongside competitive salaries and comprehensive benefits. With opportunities to work on cutting-edge AI solutions and a supportive team environment, this role offers a meaningful career path in a rapidly evolving field.
Contact Details:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Reading
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Machine Learning Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning libraries like TensorFlow or PyTorch. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key. We want to see how you can collaborate with teams and share your ideas effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Get your CV ready and let’s get you that Machine Learning Engineer position!
We think you need these skills to ace Machine Learning Engineer in Reading
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Machine Learning, AI, and Data Science. We want to see how your skills match the job description, so don’t be shy about showcasing your programming prowess in Python and any relevant projects you've worked on!
Showcase Your Projects:If you've built any machine learning models or worked with libraries like TensorFlow or PyTorch, include those in your application. We love seeing practical examples of your work, especially if you’ve deployed models into production environments!
Be Clear About Your Availability:When you apply, let us know when you can start and what your salary expectations are. This helps us understand your situation better and speeds up the process, so we can get you on board sooner!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Halian | Managed Services, Recruitment Agency & Contract Staffing
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning concepts and the specific libraries mentioned in the job description, like TensorFlow and PyTorch. Be ready to discuss your past projects and how you've applied these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles, especially when it comes to working with large datasets or deploying models. Use specific examples to illustrate your thought process and the impact of your solutions.
✨Get Familiar with Their Tech Stack
Research the company’s tech stack and be prepared to discuss how your experience aligns with their needs. If they use AWS or Azure, for instance, think of examples where you've worked with cloud platforms and how that can benefit their projects.
✨Practice Your Communication
Since excellent communication skills are key, practice explaining complex technical concepts in simple terms. You might be asked to collaborate with non-technical team members, so being able to convey your ideas clearly is crucial.
